Nowadays, the urban freight traffic is a very important research area because of its significant effect on the urban sustainability, and the last period with the COVID-19 pandemic highlighted its importance again, with the increasing of share of the number of home deliveries in the crowded cities. In this field, we should focus on the problems of the logistics systems of the so-called urban concentrated sets of delivery locations (e.g. shopping malls or markets), as in their case, it is needed to serve lots of stores in a very small area. Based on the results of former research projects, it can be said, that it could be really important to develop such a ranking model, which could rank the current city logistics state and the future city logistics development potentials of these concentrated sets of delivery locations and other urban zones with single delivery locations at the same time. In this paper, we are going to present an Analytic Hierarchy Process based multicriterial ranking model, which makes it possible to rank urban areas in a two-dimensional system, where the first dimension is the current city logistics state, and the second one is the future development potential. The main purpose of this ranking is to mark urban zones in future city logistics projects those, which could be well developed, and it is worthwhile to develop them. We are going to write about our former related research results and about the formalization of the AHP-based model. As we work and live in Budapest, our model was tested on this city, for first, on 4 shopping malls. We are going to present the results of the tests, the first results of the sensitivity analysis, and the next steps of the research. This paper is a revised and expanded version of a paper entitled “AHP-based multicriterial ranking model for the city logistics analysis of urban areas” presented online at the 10th International Conference on Logistics, Informatics and Service Sciences (LISS2020), on July 27, 2020. © 2021, Success Culture Press. All rights reserved.
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